Evidence map›Paper›PMID 35611621›Full record

ArticleJournal of the Royal Society, Interface2022

Expanding the measurement of culture with a sample of two billion humans.

Nick Obradovich, Ömer Özak, Ignacio Martín, Ignacio Ortuño-Ortín, Edmond Awad, Manuel Cebrián, Rubén Cuevas, Klaus Desmet, Iyad Rahwan, Ángel Cuevas

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Machine culture.Nature human behaviour · 2023
    Review
  5. Article
  6. Article
  7. Paradox of diversity in the collective brain.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nick ObradovichCenter for Humans and Machines, Max Planck Institute for Human Development, 14195 Berlin, Germany.
Ömer ÖzakDepartment of Economics and Center for Scientific Computing, Southern Methodist University, Dallas, TX 75205, USA.
Ignacio MartínNommon Solutions and Technologies, 28020 Madrid, Spain.
Ignacio Ortuño-OrtínDepartment of Economics,Universidad Carlos III de Madrid, 28903 Getafe (Madrid), Spain.
Edmond AwadDepartment of Economics, University of Exeter Business School, Exeter EX4 4PU, UK.
Manuel CebriánCenter for Humans and Machines, Max Planck Institute for Human Development, 14195 Berlin, Germany.
Rubén CuevasDepartment of Telematic Engineering and UC3M-Santander Big Data Institute, Universidad Carlos III de Madrid, 28911 Leganés (Madrid), Germany.
Klaus DesmetDepartment of Economics and Cox School of Business, Southern Methodist University, Dallas, TX 75205, USA.
Iyad RahwanNBER, National Bureau of Economic Research, Cambridge, MA 02138, USA.ORCID 0000-0002-1796-4303
Ángel CuevasDepartment of Telematic Engineering and UC3M-Santander Big Data Institute, Universidad Carlos III de Madrid, 28911 Leganés (Madrid), Germany.ORCID 0000-0002-5738-0820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Culture has played a pivotal role in human evolution. Yet, the ability of social scientists to study culture is limited by the currently available measurement instruments. Scholars of culture must regularly choose between scalable but sparse survey-based methods or restricted but rich ethnographic methods. Here, we demonstrate that massive online social networks can advance the study of human culture by providing quantitative, scalable and high-resolution measurement of behaviourally revealed cultural values and preferences. We employ data across nearly 60 000 topic dimensions drawn from two billion Facebook users across 225 countries and territories. We first validate that cultural distances calculated from this measurement instrument correspond to traditional survey-based and objective measures of cross-national cultural differences. We then demonstrate that this expanded measure enables rich insight into the cultural landscape globally at previously impossible resolution. We analyse the importance of national borders in shaping culture and compare subnational divisiveness with gender divisiveness across countries. Our measure enables detailed investigation into the geopolitical stability of countries, social cleavages within small- and large-scale human groups, the integration of migrant populations and the disaffection of certain population groups from the political process, among myriad other potential future applications.

Indexed as

Anthropology, CulturalCultureHumanscultural distanceculturegender differencesidentityregional culture

Identifiers

PMID35611621
PMCPMC9131129

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.